Buildots, a global construction intelligence platform, launched the Buildots Intelligence Lab on June 25, 2026 - the construction industry's first AI-powered research hub. The Chicago-based lab will publish free, objective benchmarks to help companies achieve operational excellence and make better decisions on projects.
The lab's mission is to fill long-standing blind spots in construction performance data. By pooling anonymized information from Buildots' AI-powered site monitoring tools, the lab will create statistically grounded benchmarks for productivity, schedule adherence, and other key metrics. These reports will be available to any firm, not just Buildots customers.
Addressing a long-standing data gap
Construction has rarely had access to standardized, real-world performance data. Project managers often rely on experience and subjective judgment to assess progress. The Buildots Intelligence Lab aims to replace that guesswork with hard numbers, letting companies compare their own projects against industry-wide averages.
The initiative comes as AI adoption in construction accelerates. For professionals looking to understand these shifts, AI for Real Estate & Construction resources offer insights into the tools and strategies reshaping the sector.
How the lab will operate
Buildots' platform uses computer vision to capture images and video during routine site walks, then compares actual conditions to digital plans. The Intelligence Lab will aggregate this data across thousands of projects, stripping out identifying details to build a confidential, industry-level dataset. The company said the benchmarks will be updated regularly to reflect current market conditions.
Why this matters for real estate and construction professionals
For general contractors, developers, and project managers, the lack of reliable benchmarks has made it difficult to spot inefficiencies early. With access to the lab's data, teams can measure their performance against norms, identify delays before they escalate, and negotiate with subcontractors using facts rather than assumptions. The lab could help shift construction toward a more data-driven, transparent operating model.
Your membership also unlocks:
